Regression Planning Networks

NeurIPS, pp. 1317-1327, 2019.

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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

Recent learning-to-plan methods have shown promising results on planning directly from observation space. Yet, their ability to plan for long-horizon tasks is limited by the accuracy of the prediction model. On the other hand, classical symbolic planners show remarkable capabilities in solving long-horizon tasks, but they require predef...More

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